QMonteCarlo
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PointCloud
A lightweight, easy-to-use, and efficient library for processing and rendering 3D data
A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
OpenVDB - Sparse volume data structure and tools
Point Cloud-based Place Recognition in Compressed Map
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
[RA-L] LinK3D: Linear Keypoint Representation for 3D LiDAR Point Cloud
Efficient and parallel algorithms for point cloud registration [C++, Python]
ICP and NDT scan matching example with SE(2)
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
[RA-L] BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM.
MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
diff-gaussian-rasterization module in CG-SLAM
A collection of GICP-based fast point cloud registration algorithms
The QPEP (Quadratic Pose Estimation) with RANSAC (Random Sample Consensus)
[RAL] Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks
Voxelmap++: Mergeable Voxel Mapping Method for Online LiDAR(-inertial) Odometry
A Python library for making voxel and 3D mesh models from images and arrays
Minimal, robust, accurate and real-time LiDAR odometry
3D Mapping Library for Autonomous Robots (C++/ROS)
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
Minimal C++ library for spatial data structures based on voxel-block-hashing
A Consistent Frame-to-Frame Solid-State-LiDAR-Inertial State Estimator
Harris Operator for Interest Point Detection on 3D Meshes